The application of machine learning algorithms in understanding the effect of core/shell technique on improving powder compactability.

Lou, Hao; Chung, John I; Kiang, Y-H; Xiao, Ling-Yun; Hageman, Michael J

Lou, Hao; Chung, John I; Kiang, Y-H; Xiao, Ling-Yun; Hageman, Michael J.

Afiliación

Lou H; Drug Product Technologies, Process Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, USA; Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, KS 66047, USA.
Chung JI; Drug Product Technologies, Process Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, USA.
Kiang YH; Drug Product Technologies, Process Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, USA.
Xiao LY; Drug Product Technologies, Process Development, Amgen Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, USA.
Hageman MJ; Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, KS 66047, USA. Electronic address: mhageman@ku.edu.

Int J Pharm ; 555: 368-379, 2019 Jan 30.

Article en En | MEDLINE | ID: mdl-30468845

Asunto(s)

Química Farmacéutica/métodos; Aprendizaje Automático; Modelos Teóricos; Redes Neurales de la Computación; Algoritmos; Composición de Medicamentos/métodos; Polvos; Máquina de Vectores de Soporte

Palabras clave

Core/shell technique; Neural network; Powder compactability; Spray drying; Support Vector Machine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Química Farmacéutica / Redes Neurales de la Computación / Aprendizaje Automático / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Pharm Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

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